Class: Aws::SageMaker::Types::CreateModelInput

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::CreateModelInput

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #containers ⇒ Array<Types::ContainerDefinition>

  Specifies the containers in the inference pipeline.

• #enable_network_isolation ⇒ Boolean

  Isolates the model container.

• #execution_role_arn ⇒ String

  The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs.

• #inference_execution_config ⇒ Types::InferenceExecutionConfig

  Specifies details of how containers in a multi-container endpoint are called.

• #model_name ⇒ String

  The name of the new model.

• #primary_container ⇒ Types::ContainerDefinition

  The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

• #tags ⇒ Array<Types::Tag>

  An array of key-value pairs.

• #vpc_config ⇒ Types::VpcConfig

  A [VpcConfig] object that specifies the VPC that you want your model to connect to.

Instance Attribute Details

#containers ⇒ Array<Types::ContainerDefinition>

Specifies the containers in the inference pipeline.

Returns:

• (Array<Types::ContainerDefinition>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 8815

class CreateModelInput < Struct.new(
  :model_name,
  :primary_container,
  :containers,
  :inference_execution_config,
  :execution_role_arn,
  :tags,
  :vpc_config,
  :enable_network_isolation)
  SENSITIVE = []
  include Aws::Structure
end

#enable_network_isolation ⇒ Boolean

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

Returns:

• (Boolean)

# File 'lib/aws-sdk-sagemaker/types.rb', line 8815

class CreateModelInput < Struct.new(
  :model_name,
  :primary_container,
  :containers,
  :inference_execution_config,
  :execution_role_arn,
  :tags,
  :vpc_config,
  :enable_network_isolation)
  SENSITIVE = []
  include Aws::Structure
end

#execution_role_arn ⇒ String

The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see [SageMaker Roles].

<note markdown=“1”> To be able to pass this role to SageMaker, the caller of this API must have the ‘iam:PassRole` permission.

</note>

[1]: docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 8815

class CreateModelInput < Struct.new(
  :model_name,
  :primary_container,
  :containers,
  :inference_execution_config,
  :execution_role_arn,
  :tags,
  :vpc_config,
  :enable_network_isolation)
  SENSITIVE = []
  include Aws::Structure
end

#inference_execution_config ⇒ Types::InferenceExecutionConfig

Specifies details of how containers in a multi-container endpoint are called.

Returns:

• (Types::InferenceExecutionConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 8815

class CreateModelInput < Struct.new(
  :model_name,
  :primary_container,
  :containers,
  :inference_execution_config,
  :execution_role_arn,
  :tags,
  :vpc_config,
  :enable_network_isolation)
  SENSITIVE = []
  include Aws::Structure
end

#model_name ⇒ String

The name of the new model.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 8815

class CreateModelInput < Struct.new(
  :model_name,
  :primary_container,
  :containers,
  :inference_execution_config,
  :execution_role_arn,
  :tags,
  :vpc_config,
  :enable_network_isolation)
  SENSITIVE = []
  include Aws::Structure
end

#primary_container ⇒ Types::ContainerDefinition

The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

Returns:

• (Types::ContainerDefinition)

# File 'lib/aws-sdk-sagemaker/types.rb', line 8815

class CreateModelInput < Struct.new(
  :model_name,
  :primary_container,
  :containers,
  :inference_execution_config,
  :execution_role_arn,
  :tags,
  :vpc_config,
  :enable_network_isolation)
  SENSITIVE = []
  include Aws::Structure
end

#tags ⇒ Array<Types::Tag>

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see [Tagging Amazon Web Services Resources].

[1]: docs.aws.amazon.com/general/latest/gr/aws_tagging.html

Returns:

• (Array<Types::Tag>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 8815

class CreateModelInput < Struct.new(
  :model_name,
  :primary_container,
  :containers,
  :inference_execution_config,
  :execution_role_arn,
  :tags,
  :vpc_config,
  :enable_network_isolation)
  SENSITIVE = []
  include Aws::Structure
end

#vpc_config ⇒ Types::VpcConfig

A [VpcConfig] object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. ‘VpcConfig` is used in hosting services and in batch transform. For more information, see [Protect Endpoints by Using an Amazon Virtual Private Cloud] and [Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud].

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_VpcConfig.html [2]: docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html [3]: docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html

Returns:

• (Types::VpcConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 8815

class CreateModelInput < Struct.new(
  :model_name,
  :primary_container,
  :containers,
  :inference_execution_config,
  :execution_role_arn,
  :tags,
  :vpc_config,
  :enable_network_isolation)
  SENSITIVE = []
  include Aws::Structure
end